{"id":"W2053090762","doi":"10.7202/003739ar","title":"Tools for Machine-Aided Translation: The CMU TWS","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Machine translation; Workstation; Computer-assisted translation; Variety (cybernetics); Interface (matter); Translation (biology); Artificial intelligence; Human–computer interaction; Rule-based machine translation; Feature (linguistics); User interface; Synchronous context-free grammar; Grammar; Natural language processing; Example-based machine translation; Programming language; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00363971,0.0014133,0.0009083585,0.003516693,0.001199668,0.003066952,0.003221051,0.001713208,0.06082255],"category_scores_gemma":[0.009207665,0.001423621,0.001010785,0.004648513,0.001093257,0.005506427,0.004414369,0.003149537,0.04111708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256029,"about_ca_system_score_gemma":0.00238627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003984663,"about_ca_topic_score_gemma":0.00363603,"domain_scores_codex":[0.9980391,0.0004711483,0.0001853498,0.0004015304,0.0007766514,0.0001262128],"domain_scores_gemma":[0.9963073,0.0009844791,0.0001106645,0.001193636,0.0008575596,0.0005464216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002583902,0.0001563488,0.0003947261,0.00032037,0.00003251963,0.0005377636,0.0009976657,0.002109641,0.01094639,0.03614339,0.2782509,0.669852],"study_design_scores_gemma":[0.0001509724,0.00008708032,0.00077092,0.0002711004,0.00002672105,0.001037986,0.0001462897,0.02622777,0.009663783,0.02425514,0.9372734,0.00008887221],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004236292,0.001374567,0.8137724,0.002415105,0.0009664121,0.0005542143,0.00251992,0.1254179,0.04874322],"genre_scores_gemma":[0.01806687,0.001180482,0.8869885,0.000624863,0.000466282,0.0007467777,0.008725547,0.01956478,0.06363589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06082255,"threshold_uncertainty_score":0.2034717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09181187059876134,"score_gpt":0.2949481476072405,"score_spread":0.2031362770084792,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}